Develop-Packt
diff --git a/‎Activity01/Activity01.ipynb renamed to ‎Activity01.ipynb b/‎Activity01/Activity01.ipynb renamed to ‎Activity01.ipynb
diff --git a/‎Exercise01/Exercise01.ipynb renamed to ‎Exercise01.ipynb b/‎Exercise01/Exercise01.ipynb renamed to ‎Exercise01.ipynb
diff --git a/‎Exercise02/Exercise02.ipynb renamed to ‎Exercise02.ipynb b/‎Exercise02/Exercise02.ipynb renamed to ‎Exercise02.ipynb
diff --git a/‎Exercise03/Exercise03.ipynb renamed to ‎Exercise03.ipynb b/‎Exercise03/Exercise03.ipynb renamed to ‎Exercise03.ipynb
diff --git a/‎Exercise04/Exercise04.ipynb renamed to ‎Exercise04.ipynb b/‎Exercise04/Exercise04.ipynb renamed to ‎Exercise04.ipynb
diff --git a/‎Exercise05/Exercise05.ipynb renamed to ‎Exercise05.ipynb b/‎Exercise05/Exercise05.ipynb renamed to ‎Exercise05.ipynb
diff --git a/‎Exercise06/Exercise06.ipynb renamed to ‎Exercise06.ipynb b/‎Exercise06/Exercise06.ipynb renamed to ‎Exercise06.ipynb
diff --git a/‎Exercise07/Exercise07.ipynb renamed to ‎Exercise07.ipynb b/‎Exercise07/Exercise07.ipynb renamed to ‎Exercise07.ipynb
diff --git a/‎Exercise08/Exercise08.ipynb renamed to ‎Exercise08.ipynb b/‎Exercise08/Exercise08.ipynb renamed to ‎Exercise08.ipynb
diff --git a/‎Exercise09/Exercise09.ipynb renamed to ‎Exercise09.ipynb b/‎Exercise09/Exercise09.ipynb renamed to ‎Exercise09.ipynb
diff --git a/‎Exercise10/Exercise10.ipynb renamed to ‎Exercise10.ipynb b/‎Exercise10/Exercise10.ipynb renamed to ‎Exercise10.ipynb
diff --git a/‎Exercise11/Exercise11.ipynb renamed to ‎Exercise11.ipynb b/‎Exercise11/Exercise11.ipynb renamed to ‎Exercise11.ipynb
diff --git a/‎Exercise12/Exercise12.ipynb renamed to ‎Exercise12.ipynb b/‎Exercise12/Exercise12.ipynb renamed to ‎Exercise12.ipynb
diff --git a/‎Exercise13/Exercise13.ipynb renamed to ‎Exercise13.ipynb b/‎Exercise13/Exercise13.ipynb renamed to ‎Exercise13.ipynb
diff --git a/‎Exercise14/Exercise14.ipynb renamed to ‎Exercise14.ipynb b/‎Exercise14/Exercise14.ipynb renamed to ‎Exercise14.ipynb
diff --git a/‎Exercise15/Exercise15.ipynb renamed to ‎Exercise15.ipynb b/‎Exercise15/Exercise15.ipynb renamed to ‎Exercise15.ipynb
diff --git a/‎scripts/Activity - 3.01 - NEWS Classification.py renamed to ‎scripts/Activity - 01 - NEWS Classification.py
+1-2 b/‎scripts/Activity - 3.01 - NEWS Classification.py renamed to ‎scripts/Activity - 01 - NEWS Classification.py
+1-2
diff --git a/‎scripts/Exercise - 3.01 - Clustering.py renamed to ‎scripts/Exercise - 01 - Clustering.py
-1 b/‎scripts/Exercise - 3.01 - Clustering.py renamed to ‎scripts/Exercise - 01 - Clustering.py
-1
diff --git a/‎scripts/Exercise - 3.02 - KMeans.py renamed to ‎scripts/Exercise - 02 - KMeans.py
-1 b/‎scripts/Exercise - 3.02 - KMeans.py renamed to ‎scripts/Exercise - 02 - KMeans.py
-1
diff --git a/‎scripts/Exercise - 3.03 - Logistic Regression.py renamed to ‎scripts/Exercise - 03 - Logistic Regression.py
+1-2 b/‎scripts/Exercise - 3.03 - Logistic Regression.py renamed to ‎scripts/Exercise - 03 - Logistic Regression.py
+1-2
diff --git a/‎scripts/Exercise - 3.04 - Naive Bayes.py renamed to ‎scripts/Exercise - 04 - Naive Bayes.py
+1-5 b/‎scripts/Exercise - 3.04 - Naive Bayes.py renamed to ‎scripts/Exercise - 04 - Naive Bayes.py
+1-5
diff --git a/‎scripts/Exercise - 3.05 - KNN.py renamed to ‎scripts/Exercise - 05 - KNN.py
+1-5 b/‎scripts/Exercise - 3.05 - KNN.py renamed to ‎scripts/Exercise - 05 - KNN.py
+1-5
diff --git a/‎scripts/Exercise - 3.06 - Linear Regression.py renamed to ‎scripts/Exercise - 06 - Linear Regression.py
+1-2 b/‎scripts/Exercise - 3.06 - Linear Regression.py renamed to ‎scripts/Exercise - 06 - Linear Regression.py
+1-2
diff --git a/‎scripts/Exercise - 3.07 - Decision Tree.py renamed to ‎scripts/Exercise - 07 - Decision Tree.py
+1-2 b/‎scripts/Exercise - 3.07 - Decision Tree.py renamed to ‎scripts/Exercise - 07 - Decision Tree.py
+1-2
diff --git a/‎scripts/Exercise - 3.08 - Random Forest.py renamed to ‎scripts/Exercise - 08 - Random Forest.py
+1-2 b/‎scripts/Exercise - 3.08 - Random Forest.py renamed to ‎scripts/Exercise - 08 - Random Forest.py
+1-2
diff --git a/‎scripts/Exercise - 3.09 - XGBoost.py renamed to ‎scripts/Exercise - 09 - XGBoost.py
+1-2 b/‎scripts/Exercise - 3.09 - XGBoost.py renamed to ‎scripts/Exercise - 09 - XGBoost.py
+1-2
diff --git a/‎scripts/Exercise - 3.10 - Sampling.py renamed to ‎scripts/Exercise - 10 - Sampling.py
+2-9 b/‎scripts/Exercise - 3.10 - Sampling.py renamed to ‎scripts/Exercise - 10 - Sampling.py
+2-9
diff --git a/‎scripts/Exercise - 3.11 - Correlation.py renamed to ‎scripts/Exercise - 11 - Correlation.py
-1 b/‎scripts/Exercise - 3.11 - Correlation.py renamed to ‎scripts/Exercise - 11 - Correlation.py
-1
diff --git a/‎scripts/Exercise - 3.12 - PCA.py renamed to ‎scripts/Exercise - 12 - PCA.py
-1 b/‎scripts/Exercise - 3.12 - PCA.py renamed to ‎scripts/Exercise - 12 - PCA.py
-1
diff --git a/‎scripts/Exercise - 3.13 - Evaluation.py renamed to ‎scripts/Exercise - 13 - Evaluation.py b/‎scripts/Exercise - 3.13 - Evaluation.py renamed to ‎scripts/Exercise - 13 - Evaluation.py
diff --git a/‎scripts/Exercise - 3.14 - Creating a Pipeline.py renamed to ‎scripts/Exercise - 14 - Creating a Pipeline.py b/‎scripts/Exercise - 3.14 - Creating a Pipeline.py renamed to ‎scripts/Exercise - 14 - Creating a Pipeline.py
diff --git a/‎scripts/Exercise - 3.15 - Saving and Loading Models.py renamed to ‎scripts/Exercise - 15 - Saving and Loading Models.py b/‎scripts/Exercise - 3.15 - Saving and Loading Models.py renamed to ‎scripts/Exercise - 15 - Saving and Loading Models.py
@@ -3,7 +3,6 @@
 import pandas as pd
 import seaborn as sns
 import matplotlib.pyplot as plt
-get_ipython().run_line_magic('matplotlib', 'inline')
 from nltk import word_tokenize
 from nltk.corpus import stopwords
 from nltk.stem import WordNetLemmatizer
@@ -18,7 +17,7 @@
 
 
 
-data = pd.read_csv('data/news_political_dataset.csv')
+data = pd.read_csv('../data/news_political_dataset.csv')
 assert data.shape == tuple([69505, 3])
 print(data.sample(5))
 
 
@@ -9,7 +9,6 @@
 import pandas as pd
 import numpy as np
 import matplotlib.pyplot as plt
-get_ipython().run_line_magic('matplotlib', 'inline')
 import re
 import string
 from nltk import word_tokenize
 
@@ -3,7 +3,6 @@
 import pandas as pd
 from sklearn.datasets import fetch_20newsgroups
 import matplotlib.pyplot as plt
-get_ipython().run_line_magic('matplotlib', 'inline')
 import re
 import string
 from nltk import word_tokenize
 
@@ -3,7 +3,6 @@
 
 import pandas as pd
 import matplotlib.pyplot as plt
-get_ipython().run_line_magic('matplotlib', 'inline')
 import re
 import string
 from nltk import word_tokenize
@@ -17,7 +16,7 @@
 
 
 
-review_data = pd.read_json('data/reviews_Musical_Instruments_5.json', lines=True)
+review_data = pd.read_json('../data/reviews_Musical_Instruments_5.json', lines=True)
 print(review_data[['reviewText', 'overall']].head())
 
 
 
@@ -1,11 +1,7 @@
 # coding: utf-8
 
-# In[1]:
-
-
 import pandas as pd
 import matplotlib.pyplot as plt
-get_ipython().run_line_magic('matplotlib', 'inline')
 import re
 import string
 from nltk import word_tokenize
@@ -18,7 +14,7 @@
 warnings.filterwarnings('ignore')
 
 
-review_data = pd.read_json('data/reviews_Musical_Instruments_5.json', lines=True)
+review_data = pd.read_json('../data/reviews_Musical_Instruments_5.json', lines=True)
 print(review_data[['reviewText', 'overall']].head())
 
 assert review_data.shape == tuple([10261, 9])
 
@@ -1,11 +1,7 @@
 # coding: utf-8
 
-# In[1]:
-
-
 import pandas as pd
 import matplotlib.pyplot as plt
-get_ipython().run_line_magic('matplotlib', 'inline')
 import re
 import string
 from nltk import word_tokenize
@@ -21,7 +17,7 @@
 # In[2]:
 
 
-review_data = pd.read_json('data/reviews_Musical_Instruments_5.json', lines=True)
+review_data = pd.read_json('../data/reviews_Musical_Instruments_5.json', lines=True)
 print(review_data[['reviewText', 'overall']].head())
 
 
 
@@ -5,7 +5,6 @@
 
 import pandas as pd
 import matplotlib.pyplot as plt
-get_ipython().run_line_magic('matplotlib', 'inline')
 import re
 import string
 from nltk import word_tokenize
@@ -21,7 +20,7 @@
 # In[7]:
 
 
-review_data = pd.read_json('data/reviews_Musical_Instruments_5.json', lines=True)
+review_data = pd.read_json('../data/reviews_Musical_Instruments_5.json', lines=True)
 print(review_data[['reviewText', 'overall']].head())
 
 
 
@@ -5,7 +5,6 @@
 
 import pandas as pd
 import matplotlib.pyplot as plt
-get_ipython().run_line_magic('matplotlib', 'inline')
 import re
 import string
 from nltk import word_tokenize
@@ -21,7 +20,7 @@
 # In[2]:
 
 
-data_patio_lawn_garden = pd.read_json('data/reviews_Patio_Lawn_and_Garden_5.json', lines = True)
+data_patio_lawn_garden = pd.read_json('../data/reviews_Patio_Lawn_and_Garden_5.json', lines = True)
 print(data_patio_lawn_garden[['reviewText', 'overall']].head())
 
 
 
@@ -5,7 +5,6 @@
 
 import pandas as pd
 import matplotlib.pyplot as plt
-get_ipython().run_line_magic('matplotlib', 'inline')
 import re
 import string
 from nltk import word_tokenize
@@ -21,7 +20,7 @@
 # In[3]:
 
 
-data_patio_lawn_garden = pd.read_json('data/reviews_Patio_Lawn_and_Garden_5.json', lines = True)
+data_patio_lawn_garden = pd.read_json('../data/reviews_Patio_Lawn_and_Garden_5.json', lines = True)
 assert data_patio_lawn_garden.shape == tuple([13272, 9])
 data_patio_lawn_garden[['reviewText', 'overall']].head()
 
 
@@ -5,7 +5,6 @@
 
 import pandas as pd
 import matplotlib.pyplot as plt
-get_ipython().run_line_magic('matplotlib', 'inline')
 import re
 import string
 from nltk import word_tokenize
@@ -21,7 +20,7 @@
 # In[2]:
 
 
-data_patio_lawn_garden = pd.read_json('data/reviews_Patio_Lawn_and_Garden_5.json', lines = True)
+data_patio_lawn_garden = pd.read_json('../data/reviews_Patio_Lawn_and_Garden_5.json', lines = True)
 assert data_patio_lawn_garden.shape == tuple([13272, 9])
 print(data_patio_lawn_garden[['reviewText', 'overall']].head())
 
 
@@ -4,7 +4,7 @@
 
 
 import pandas as pd
-data = pd.read_excel('data/Online Retail.xlsx')
+data = pd.read_excel('../data/Online Retail.xlsx')
 assert data.shape == tuple([541909, 8])
 print(data.shape)
 
@@ -56,11 +56,4 @@
 # In[48]:
 
 
-print(data_ugf_q2_sample.shape)
-
-
-# In[ ]:
-
-
-
-
+print(data_ugf_q2_sample.shape)
@@ -5,7 +5,6 @@
 import pandas as pd
 import numpy as np
 import matplotlib.pyplot as plt
-get_ipython().run_line_magic('matplotlib', 'inline')
 import re
 import string
 from nltk import word_tokenize
 
@@ -8,7 +8,6 @@
 import pandas as pd
 import numpy as np
 import matplotlib.pyplot as plt
-get_ipython().run_line_magic('matplotlib', 'inline')
 import re
 import string
 from nltk import word_tokenize